# numpy.log10() in Python

numpy.log10(arr, out = None, *, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘log10’) : This mathematical function helps user to calculate Base-10 logarithm of x where x belongs to all the input array elements.

Parameters :

```array    : [array_like]Input array or object.
out      : [ndarray, optional]Output array with same dimensions as Input array,
placed with result.
**kwargs : allows you to pass keyword variable length of argument to a function.
It is used when we want to handle named argument in a function.
where    : [array_like, optional]True value means to calculate the universal
functions(ufunc) at that position, False value means to leave the value in the
output alone.
```

Return :

```An array with Base-10 logarithmic value of x;
where x belongs to all elements of input array.
```

Code 1 : Working

 `# Python program explaining ` `# log10() function ` ` `  `import` `numpy as np ` ` `  `in_array ``=` `[``1``, ``3``, ``5``, ``10``*``*``8``] ` `print` `(``"Input array : "``, in_array) ` ` `  `out_array ``=` `np.log10(in_array) ` `print` `(``"Output array : "``, out_array) ` ` `  ` `  `print``(``"\nnp.log10(4**4) : "``, np.log10(``100``*``*``4``)) ` `print``(``"np.log10(2**8) : "``, np.log10(``10``*``*``8``)) `

Output :

```Input array :  [1, 3, 5, 100000000]
Output array :  [ 0.          0.47712125  0.69897     8.        ]

np.log10(4**4) :  8.0
np.log10(2**8) :  8.0
```

Code 2 : Graphical representation

 `# Python program showing ` `# Graphical representation of  ` `# log10() function ` ` `  `import` `numpy as np ` `import` `matplotlib.pyplot as plt ` ` `  `in_array ``=` `[``1``, ``2``, ``3``, ``4``, ``5``] ` `out_array ``=` `np.log10(in_array) ` ` `  `print` `(``"out_array : "``, out_array) ` ` `  `plt.plot(in_array, in_array, color ``=` `'blue'``, marker ``=` `"*"``) ` ` `  `# red for numpy.log10() ` `plt.plot(out_array, in_array, color ``=` `'red'``, marker ``=` `"o"``) ` `plt.title(``"numpy.log10()"``) ` `plt.xlabel(``"out_array"``) ` `plt.ylabel(``"in_array"``) ` `plt.show()   `

Output :

`out_array :  [ 0.          0.30103     0.47712125  0.60205999  0.69897   ]` References :
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.log10.html#numpy.log10
.

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